Walk-in || Salesforce Lead with AI

Job description Company: InfoGrowth Staffing Partner (Client: Confidential) Job Type: Full-Time Locations: Chennai, Bangalore, Hyderabad, Indore, Mumbai, Pune Viman Nagar Experience: 9-17 Years About the Opportunity InfoGrowth Staffing Partner is hiring a Salesforce Lead with AI expertise for one of our leading clients. We are looking for senior Salesforce professionals with strong hands-on experience in Salesforce development, Agentforce, Einstein AI, Data Cloud, Generative AI, LLM integrations, and AI-enabled automation. The ideal candidate should have experience designing intelligent Salesforce solutions, autonomous AI agents, RAG-based architectures, prompt engineering solutions, and enterprise integrations with external LLM platforms. Role Summary The Salesforce Lead with AI will be responsible for architecting and developing AI-enabled Salesforce solutions using Agentforce, Einstein, Data Cloud, Prompt Builder, and modern Generative AI technologies. The role requires strong Salesforce engineering expertise combined with hands-on knowledge of LLMs, RAG, vector databases, prompt engineering, GitHub Copilot, and integration with external AI platforms. Key Skills Salesforce Development • Apex Classes & Triggers • Lightning Web Components (LWC) • Salesforce Flows • Salesforce DX (SFDX) • Salesforce Security & Sharing Architecture • Governor Limits & Performance Optimization Salesforce AI & Data • Salesforce Agentforce • Einstein AI / Einstein GPT • Einstein Prompt Builder • Salesforce Data Cloud • Einstein Trust Layer • Autonomous & Conversational AI Agents • AI Guardrails and Data Masking Generative AI & LLM Technologies • Generative AI • Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) • Vector Databases / Vector Search • Prompt Engineering • LangChain or equivalent LLM orchestration frameworks AI & Enterprise Integrations • OpenAI Integration • Anthropic Integration • AWS Bedrock • REST / SOAP APIs • Webhooks • MuleSoft or equivalent middleware • Python / Node.js Microservices AI-Assisted Engineering & DevOps • GitHub Copilot • Copilot Chat / Copilot Workspace • GitHub Actions • CI/CD • Automated Unit Testing • AI-Assisted Code Generation and Refactoring Required Skills & Experience 9-17 years of overall IT experience • Strong experience in Salesforce development and technical leadership • Hands-on expertise in Apex, LWC, Flows, Salesforce DX, and Salesforce security architecture • Practical experience with Salesforce Agentforce, Einstein AI, Prompt Builder, or Salesforce Data Cloud • Strong understanding of Generative AI, LLMs, RAG, vector search, and prompt engineering • Experience integrating Salesforce with external LLM platforms such as OpenAI, Anthropic, or AWS Bedrock • Strong knowledge of REST/SOAP APIs and enterprise integration patterns • Experience with GitHub Copilot and AI-assisted software development practices • Experience with GitHub Actions and Salesforce CI/CD pipelines • Ability to lead technical design reviews, code reviews, AI governance, security, and performance optimization • Strong communication, leadership, mentoring, and stakeholder management skills Interested candidates can share their updated resume to: salesforce@infogrowth.in Please share the below details along with your resume: Full Name • Contact Number • Email ID • Total Experience • Salesforce Experience • Apex Experience • LWC Experience • Salesforce Agentforce Experience • Einstein AI / Prompt Builder Experience • Salesforce Data Cloud Experience • Generative AI / LLM Experience • RAG & Vector Database Experience • Prompt Engineering Experience • External LLM Integration Experience • GitHub Copilot Experience • MuleSoft / API Integration Experience • Current Company • Notice Period • Current CTC • Expected CTC • Current Location • Preferred Location Also, follow my LinkedIn profile for the latest technology and leadership opportunities: www.linkedin.com/in/atiya-khatoon-72b512248 Thanks & Regards Atiya Khatoon HR Manager InfoGrowth Staffing Partner